Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …

In some statistical process control applications, the quality of a process is described by a
linear relationship between the response variable (s) and the independent variable (s) …

When a process is under statistical control, one is usually interested in evaluating process
performance based on specification limits (SLs) provided by customer. This evaluation is …

Simple linear profiles (SLPs) are modeled by linear functional relationship between a
response variable and an explanatory variable. A number of process capability indices …

In some process control applications, the quality of a process or a product can be
characterized by a relationship between a response variable and one or more independent …

Process capability indices (PCIs) are developed to assess process performance based on
the specification limits (SLs) provided by customer. Sometimes the quality of a process or …

In many process control applications, the quality of a process or a product can be
characterized by a functional relationship between a response variable and one or more …

In the multivariate statistical process control literature, the profile is a function or curve
representing the relation between two or more variables. Several types of complicated …

In some practical applications, the quality of a process or a product is characterized by a
relationship, namely a profile between a response variable and one or more explanatory …

This paper describes some of the misconceptions about existing process capability indices
(PCIs). Attention has been drawn to their drawbacks. It is shown that the indices have failed …